Monthly GDP estimates based on the IGAE
This article presents three methods to estimate the logarithm of montly real GDP in Mexico from the Global Indicator of Economic Activity (IGAE): (1) a deterministic approach using the IGAE growth rate; (2) an extension of Denton method; and, (3) the Kalman filter. In these methods the monthly GDP is regarded as an unobservable variable that is approximated using only the IGAE. Results suggest that the method based on the Kalman filter seems to fit better the observed data of quarterly GDP under several error measures. By analyzing different estimation periods it was found that the parameters corresponding to the filter remained relatively stable over the period of study. Therefore, this method was used to perform out-of-sample forecasts.
References listed on IDEAS
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- Pasricha, Gurnain Kaur, 2006. "Kalman Filter and its Economic Applications," MPRA Paper 22734, University Library of Munich, Germany.
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